Aurélien Dugourd
- Molecular Biology top 10%
- Immunology top 10%
- Cancer Research top 10%
- Oncology
- Genetics top 10%
- Co-authors
- Julio Sáez-RodríguezDaniel DimitrovRicardo O. Ramirez FloresPau Badia-i-MompelSophia Müller‐DottJana M. BraungerChristian H. HollandPetr Tauš
- Topics
- Bioinformatics and Genomic Networks (8 papers)Gene Regulatory Network Analysis (5 papers)Metabolomics and Mass Spectrometry Studies (4 papers)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Aurélien Dugourd
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 930
- Immunology 229
- Cancer Research 201
- Oncology 154
- Genetics 150
Countries citing papers authored by Aurélien Dugourd
This map shows the geographic impact of Aurélien Dugourd's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aurélien Dugourd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Dugourd more than expected).
Fields of papers citing papers by Aurélien Dugourd
This network shows the impact of papers produced by Aurélien Dugourd. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aurélien Dugourd. The network helps show where Aurélien Dugourd may publish in the future.
Co-authorship network of co-authors of Aurélien Dugourd
This figure shows the co-authorship network connecting the top 25 collaborators of Aurélien Dugourd. A scholar is included among the top collaborators of Aurélien Dugourd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aurélien Dugourd. Aurélien Dugourd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 48 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq databreakdown → | 237 |
| 10 | 18 | |
| 11 | decoupleR: ensemble of computational methods to infer biological activities from omics databreakdown → | 302 |
| 12 | 6 | |
| 13 | 90 | |
| 14 | 16 | |
| 15 | 22 | |
| 16 | 104 | |
| 17 | 14 | |
| 18 | 30 | |
| 19 | 171 | |
| 20 | 200 |
About Aurélien Dugourd
Aurélien Dugourd is a scholar working on Aging, Genetics and Hematology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Genetics (150 citations), Molecular Biology (930 citations) and Cancer Research (201 citations). Aurélien Dugourd has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Julio Sáez-Rodríguez, Daniel Dimitrov, Ricardo O. Ramirez Flores, Pau Badia-i-Mompel, Sophia Müller‐Dott, Jana M. Braunger, Christian H. Holland, Petr Tauš, Celina Geiß and Christian Frezza. Their work appears in journals such as Cell, Nature Communications and Molecular Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.